Graduate student

vor 4 Wochen


Bern, Schweiz ETH get hired Vollzeit
Graduate student (BSc/MSc) - AI for solar energy forecasting

07.10.2024

80%

Branche

Region

Graduate researcher on AI for satellite-based solar energy forecasting

The Energy and AI research group at Bern University of Applied Sciences invites applications for a one-year position in solar energy forecasting based on machine learning on satellite imagery. The graduate student should have experience and interest in applied machine learning and weather forecast applications.

What you will be doing here
  • Develop machine learning approaches for satellite-based solar energy forecasts
  • Conduct research in machine learning, satellite remote sensing, and weather forecasting
  • Publish your results in scientific journals and present your work at international conferences
  • Our group offers a stimulating collaborative research environment and a strong network with industry partners
  • Full-time and part-time work are possible (70-100%)
  • It is possible to assist in teaching and co-supervise Bachelor students if there is fit
What you'll bring with you
  • Master student or graduate with MSc degree (or equivalent) in physics, computer science, atmospheric/geoscience, engineering, applied mathematics, or a related field
  • Practical experience in programming (e.g., Python), machine learning, and data analysis
  • Strong analytical skills, fluency in English, good writing and communication skills
  • You are self-motivated and proactive, enjoy working with complex topics and thrive on challenges
  • To apply, please submit your CV, BSc and/or MSc transcripts and theses, and Github profile (if any)

If you’d like to make an impact in the fields of AI, weather, and energy, we look forward to hearing from you. To apply, please send an email to Angela Meyer (angela.meyer@bfh.ch) and include your CV, BSc and/or MSc transcripts.

The salary and contract conditions correspond to the employment conditions of the canton of Bern. Hybrid work is possible. Desired starting date is November 2024 or by mutual agreement.

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